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Learn Applied Machine Learning online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Harvard University
Get the opportunity to see TinyML in practice. You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition.
DeepLearning.AI
AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This Specialization will give you practical experience in applying machine learning to concrete problems in medicine.…
IBM
This short course introduces you to the fundamentals of Data Engineering and Machine Learning with Apache Spark, including Spark Structured Streaming, ETL for Machine Learning (ML) Pipelines, and Spark ML. By the end of the course, you will have hands-on experience applying Spark skills to ETL and…
Arm Education
****This course will provide you with the hands-on experience you’ll need to create innovative machine learning applications using ubiquitous Arm-based microcontrollers.
DeepLearning.AI
AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This Specialization will give you practical experience in applying machine learning to concrete problems in medicine.…
Delft University of Technology
Learn how modern power grids are analysed, monitored and operated. Explore concepts such as power flow, optimisation under uncertainty, substation automation and machine learning.
IBM
A short hands-on project: Agentic AI, Applied Machine Learning, Data Mining.
University of Michigan
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolk…
Delft University of Technology
Unravel the physics behind Germanium qubits, their fabrication process, control, and applications. Learn how to apply machine learning for auto-tuning, and how to perform quantum error correction and quantum algorithms.
Delft University of Technology
Learn where and how to apply intelligence to the energy grid to create a digitalized, automated, integrated and optimized energy system. The course discusses state-of-the-art digital technologies and their role in managing grid congestion, so you are at the forefront of the power grid revolution.
Stanford Online
This capstone project takes you on a guided tour exploring all the concepts we have covered in the different classes up till now. We have organized this experience around the journey of a patient who develops some respiratory symptoms and given the concerns around COVID19 seeks care with a primary…
Cornell University
This course provides learners with an introduction to applications of machine learning in the plant sciences. Learners will be given an introduction to machine learning including supervised learning, test validation, learning via gradient methods, neural networks, regression, and parameter optimiza…
IBM
Master advanced RAG techniques using FAISS, ChromaDB, and modern retrievers while building high-performance search applications with LangChain and LlamaIndex, and Gradio.
Alberta Machine Intelligence Institute
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a mach…
The University of Texas at Austin
This course provides a detailed explanation of machine learning and its applications in finance.
MIT xPRO
Learn how the computational tools used in engineering problem-solving are put into practice. This is course 2 of 2 in the program Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI.
Duke University
Welcome to the fourth course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will build upon the Cloud computing and data engineering concepts introduced in the first three courses to apply Machine Learning Engineering to real-world projects. First, you will d…
MathWorks
Discover how engineers apply machine learning to advance manufacturing analytics, improve quality, and optimize yield. Explore practical AI for manufacturing workflows that turn process and sensor data into actionable insights, without heavy coding.
Microsoft
Turn your interest in data science into a focused career direction. This course helps you discover where your strengths fit in a fast-growing field, explore high-impact data scientist roles, and build a practical plan for moving toward work in modeling, experimentation, AI, and evidence-based decis…
Johns Hopkins University
Master Applied Machine Learning Techniques
